{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   id  Sepal.Length  Sepal.Width  Petal.Length  Petal.Width Species  label\n",
      "0   1           5.1          3.5           1.4          0.2  setosa      0\n",
      "1   2           4.9          3.0           1.4          0.2  setosa      0\n",
      "2   3           4.7          3.2           1.3          0.2  setosa      0\n",
      "3   4           4.6          3.1           1.5          0.2  setosa      0\n",
      "4   5           5.0          3.6           1.4          0.2  setosa      0\n"
     ]
    }
   ],
   "source": [
    "# 异常检测\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "data = pd.read_csv(\"iris.csv\")\n",
    "\n",
    "print(data.head());"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'SepalLength-SepalWidth')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] # 推荐使用SimHei字体显示中文\n",
    "plt.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题fig = plt.figure()\n",
    "plt.figure(figsize=(10, 5))\n",
    "SepalLength=spealLen = data.iloc[:,[1]].to_numpy();\n",
    "SepalWidth=data.iloc[:,[2]].to_numpy()\n",
    "plt.scatter(SepalLength, SepalWidth)\n",
    "plt.title(\"SepalLength-SepalWidth\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2 = plt.figure(figsize=(10, 5))\n",
    "plt.subplot(121)\n",
    "\n",
    "plt.hist(SepalLength, bins=150)\n",
    "plt.title(\"SepalLength-counts\")\n",
    "plt.xlabel(\"SepalLength\")\n",
    "plt.ylabel(\"counts\")\n",
    "plt.subplot(122)\n",
    "\n",
    "plt.hist(SepalWidth,bins=150)\n",
    "plt.ylabel(\"counts\")\n",
    "plt.title(\"SepalWidth-counts\")\n",
    "\n",
    "plt.xlabel(\"SepalWidth\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sepalLengthMean 5.843333\n",
      "sepalLengthSigma 0.825301\n",
      "sepalWidthMean 3.057333\n",
      "sepalWidthMeanStd 0.434411\n"
     ]
    }
   ],
   "source": [
    "# 计算鸢尾花叶子数量均值、\n",
    "sepalLengthMean = SepalLength.mean();\n",
    "print(\"sepalLengthMean %f\" % sepalLengthMean)\n",
    "# 标准差\n",
    "sepalLengthSigma = SepalLength.std();\n",
    "print(\"sepalLengthSigma %f\" %sepalLengthSigma)\n",
    "\n",
    "#  计算叶子宽度的 均值 方差\n",
    "sepalWidthMean = SepalWidth.mean();\n",
    "print(\"sepalWidthMean %f\" % sepalWidthMean)\n",
    "\n",
    "sepalWidthMeanStd = SepalWidth.std();\n",
    "print(\"sepalWidthMeanStd %f\" %sepalWidthMeanStd)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算高斯概率密度函数\n",
    "from scipy.stats import norm\n",
    "\n",
    "# 生成一组数据\n",
    "x1_range = np.linspace(0,20,300)\n",
    "# 高斯分布\n",
    "x1_normal = norm.pdf(x1_range, sepalLengthMean, sepalLengthSigma);\n",
    "\n",
    "width_normal = norm.pdf(x1_range, sepalWidthMean, sepalWidthMeanStd);\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.subplot(121)\n",
    "plt.plot(x1_range, x1_normal);\n",
    "plt.title(\"sepalLength\")\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot(x1_range, width_normal);\n",
    "plt.title(\"sepalWith\")\n",
    "\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1\n",
      "  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1\n",
      "  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1\n",
      "  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1\n",
      "  1  1  1  1  1  1  1  1  1 -1  1 -1  1  1  1  1  1  1  1  1  1 -1 -1  1\n",
      "  1  1 -1  1  1  1  1  1  1  1 -1 -1  1  1  1 -1  1  1  1  1  1  1  1  1\n",
      "  1  1  1  1  1  1]\n",
      "预测结果: [-1]\n"
     ]
    }
   ],
   "source": [
    "# 建立异常检测模型（无监督学习）\n",
    "from sklearn.covariance import EllipticEnvelope\n",
    "\n",
    "ad_model = EllipticEnvelope(contamination=0.05)\n",
    "ad_model.fit(spealLen);\n",
    "\n",
    "ypredict = ad_model.predict(spealLen);\n",
    "\n",
    "print(ypredict)\n",
    "\n",
    "res = ad_model.predict([[7.45]])\n",
    "\n",
    "print(\"预测结果: %s\" % res)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 图形展示\n",
    "plt.figure(figsize=(10,5))\n",
    "originData = plt.scatter(spealLen, SepalWidth, marker='x');\n",
    "anomlyData = plt.scatter(spealLen[ypredict==-1], SepalWidth[ypredict==-1], marker='o', facecolor='none', edgecolors='red', s=150);\n",
    "# 数据示例标识\n",
    "plt.legend((originData, anomlyData), ('originData', 'anomlyData'))\n",
    "plt.title(\"缺陷检测结果\")\n",
    "plt.show();"
   ]
  }
 ],
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